uCT ATLAS Astound with uWS-CT-Dual Energy Analysis
K223028 · Shanghai United Imaging Healthcare Co., Ltd. · JAK · Feb 16, 2023 · Radiology
Device Facts
Record ID
K223028
Device Name
uCT ATLAS Astound with uWS-CT-Dual Energy Analysis
Applicant
Shanghai United Imaging Healthcare Co., Ltd.
Product Code
JAK · Radiology
Decision Date
Feb 16, 2023
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.1750
Device Class
Class 2
Attributes
AI/ML
AI Performance
Output
Algorithm
Acceptance
Observed
Dev DS
Dev Readers
Test DS
Test Readers
Computed Tomography Image Reconstruction
Model-based iterative reconstruction and deep learning technology
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Indications for Use
uCT ATLAS Astound is a computed tomography x-ray system, which is intended to produce cross-sectional images of the whole body by computer reconstruction of x-ray transmission data taken at different angles and planes. uCT ATLAS Astound is applicable to head, whole body, cardiac, and vascular x-ray Computed Tomography. uCT ATLAS Astound is intended to be used for low dose CT lung cancer screening for the early detection of lung nodules that may represent cancer. The screening must be performed within the established inclusion criteria of programs / protocols that have been approved and published by either a governmental body or professional medical society. * Please refer to clinical literature, including the results of the National Lung Screening Trial (N Engl J Med 2011; 365:395-409) and subsequent literature, for further information. uWS-CT-Dual Energy Analysis is a post-processing software package that accepts UIH CT images acquired using different tube voltages and/or tube currents of the same anatomical location. The various materials of an anatomical region of interest have different attenuation coefficients, which depend on the used energy. These differences provide information on the chemical composition of the scanned body materials and enable images to be generated at multiple energies within the available spectrum. uWS-CT-Dual Energy Analysis software combines images acquired with low and high energy spectra to visualize this information.
Device Story
Multi-slice CT scanner; acquires cross-sectional images via X-ray transmission data. Features 80-row detector, 0.25s rotation speed, 82cm bore. Includes Deep IR (AIIR) reconstruction (model-based iterative + deep learning) to reduce noise/artifacts and improve resolution. Includes uAI Vision for patient positioning. Dual Energy Analysis software processes images from different tube voltages/currents to visualize material composition (e.g., kidney stones, gout). Used in clinical settings by radiologists/technicians. Output images assist in diagnosis and lung cancer screening. Benefits include lower radiation dose, faster scanning for cardiac/dynamic imaging, and improved low-contrast detectability.
Clinical Evidence
No clinical trials; bench testing only. Included dosimetry, image performance testing, and clinical image evaluation (head, neck, chest, abdomen, spine, hip, knee, pelvis) reviewed by a board-certified radiologist to confirm diagnostic sufficiency.
Technological Characteristics
Multi-slice CT system; 80-row solid-state GOS detector (0.5mm Z-plane); 82cm bore; 80kW/100kW generator; 0.25s rotation speed. Deep IR (AIIR) reconstruction algorithm. Connectivity via DICOM. Biocompatible materials per ISO 10993-5/10. Electrical safety per IEC 60601-1, 60601-2-44. Software includes post-processing for dual-energy analysis.
Indications for Use
Indicated for head, whole body, cardiac, and vascular CT imaging. Also indicated for low-dose CT lung cancer screening for early detection of lung nodules in patients meeting established governmental or professional society criteria.
Regulatory Classification
Identification
A computed tomography x-ray system is a diagnostic x-ray system intended to produce cross-sectional images of the body by computer reconstruction of x-ray transmission data from the same axial plane taken at different angles. This generic type of device may include signal analysis and display equipment, patient and equipment supports, component parts, and accessories.
Predicate Devices
uCT ATLAS with uWS-CT-Dual Energy Analysis (K203448)
Submission Summary (Full Text)
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February 16, 2023
Shanghai United Imaging Healthcare Co., Ltd. % Xin Gao Regulatory Affairs Manager No. 2258 Chengbei Rd., Jiading Industrial District SHANGHAI, SHANGHAI 201807 CHINA
## Re: K223028
Trade/Device Name: uCT ATLAS Astound with uWS-CT-Dual Energy Analysis Regulation Number: 21 CFR 892.1750 Regulation Name: Computed Tomography X-Ray System Regulatory Class: Class II Product Code: JAK Dated: January 11, 2023 Received: January 17, 2023
### Dear Xin Gao:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part
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801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Lu Jiang
Lu Jiang, Ph.D. Assistant Director Diagnostic X-Ray Systems Team DHT8B: Division of Radiological Imaging Devices and Electronic Products OHT8: Office of Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known)
K223028
#### Device Name
uCT ATLAS Astound with uWS-CT-Dual Energy Analysis
#### Indications for Use (Describe)
uCT ATLAS Astound is a computed tomography x-ray system, which is intended to produce cross-sectional images of the whole body by computer reconstruction of x-ray transmission data taken at different angles and planes. uCT ATLAS Astound is applicable to head, whole body, cardiac, and vascular x-ray Computed Tomography.
uCT ATLAS Astound is intended to be used for low dose CT lung cancer screening for the early detection of lung nodules that may represent cancer. The screening must be performed within the established inclusion criteria of programs / protocols that have been approved and published by either a governmental body or professional medical society. * Please refer to clinical literature, including the results of the National Lung Screening Trial (N Engl J Med 2011; 365:395-409) and subsequent literature, for further information.
uWS-CT-Dual Energy Analysis is a post-processing software package that accepts UIH CT images acquired using different tube voltages and/or tube currents of the same anatomical location. The various materials of an anatomical region of interest have different attenuation coefficients, which depend on the used energy. These differences provide information on the chemical composition of the scanned body materials and enable images to be generated at multiple energies within the available spectrum. uWS-CT-Dual Energy Analysis software combines images acquired with low and high energy spectra to visualize this information.
| Type of Use (Select one or both, as applicable) | |
|--------------------------------------------------------------------------------------------------------------|----------------------------------------------------------|
| <span> <span style="text-decoration: underline;">Prescription Use (Part 21 CFR 801 Subpart D)</span> </span> | <span>Over-The-Counter Use (21 CFR 801 Subpart C)</span> |
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Image /page/3/Picture/1 description: The image contains the logo for United Imaging. The logo consists of the words "UNITED IMAGING" in bold, sans-serif font, stacked on top of each other. To the right of the text is a stylized "U" shape, which is also in bold and appears to be a dark teal color. The logo is simple and modern in design.
# 510 (K) SUMMARY
K223028
- 1. Date of Preparation September 29, 2022
#### 2. Sponsor Identification
Shanghai United Imaging Healthcare Co.,Ltd. No.2258 Chengbei Rd. Jiading District, 201807, Shanghai, China
Contact Person: Xin GAO Position: Regulatory Affair Manager Tel: +86-021-67076888-5386 Fax: +86-021-67076889 Email: xin.gao@united-imaging.com
#### 3. Identification of Proposed Device
Device Name: uCT ATLAS Astound with uWS-CT-Dual Energy Analysis Common Name: Computed Tomography X-ray System Model(s): uCT ATLAS Astound
#### Regulatory Information
Regulation Number: 21 CFR 892.1750 Regulation Name: Computed Tomography X-ray System Regulatory Class: II Product Code: JAK Review Panel: Radiology
#### 4. Identification of Predicate/Reference Device(s)
Predicate Device
510(k) Number: K203448 Device Name: uCT ATLAS with uWS-CT-Dual Energy Analysis Regulation Name: Computed Tomography X-ray System Regulatory Class: II Product Code: JAK Review Panel: Radiology
- 5. Device Description:
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Image /page/4/Picture/1 description: The image contains the logo for United Imaging. The logo consists of the word "UNITED" stacked on top of the word "IMAGING", both in a bold, sans-serif font. To the right of the text is a stylized "U" shape, which is also in a bold, sans-serif font. The color of the logo is a dark gray.
The proposed device uCT ATLAS Astound with uWS-CT-Dual Energy Analysis includes image acquisition hardware, image acquisition, reconstruction and dual energy analysis software, and associated accessories.
The uCT ATLAS Astound is a multi-slice computed tomography scanner that features the following specification and technologies.
- 40 mm z-coverage in a single axial exposure with a 80-row 0.5 mm-slice Z-● Detector
- . 0.25 s rotation speed for high temporal resolution, and maximum 310 mm/s fast helical scanning capability
- 82 cm bore size, 318 kg (700 lbs) maximum table load capacity allows flexible . positioning and access for all patients
- . The new generation reconstruction method, Deep IR (also named AIIR), which combines the model-based iterative reconstruction and deep learning technology together, in order to reduce image noise and artifacts, while at the same time improving low contrast detectability and spatial resolution
- The uAI Vision patient positioning assistance
Built upon these technologies, the uCT ATLAS Astound is designed to use less radiation dose. Further, the fast scanning capability benefits the clinical applications, especially for cardiac imaging, dynamic whole organ imaging and fast body and vascular imaging.
The uWS-CT-Dual Energy Analysis is a post-processing software package that accepts UIH CT images acquired using different tube voltages and/or tube currents of the same anatomical location. The various materials of an anatomical region of interest have different attenuation coefficients, which depend on the used energy. These differences provide information on the chemical composition of the scanned body materials. CT dual energy analysis application combines images acquired with low and high energy spectra to visualize this information.
## 6. Indications for Use
uCT ATLAS Astound is a computed tomography x-ray system, which is intended to produce cross-sectional images of the whole body by computer reconstruction of x-ray transmission data taken at different angles and planes. uCT ATLAS Astound is applicable to head, whole body, cardiac, and vascular x-ray Computed Tomography.
uCT ATLAS Astound is intended to be used for low dose CT lung cancer screening for the early detection of lung nodules that may represent cancer. The screening must be performed within the established inclusion criteria of programs / protocols that have been approved and published by either a governmental body or professional medical society.
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Image /page/5/Picture/1 description: The image contains the logo for United Imaging. The logo consists of the words "UNITED IMAGING" in a bold, sans-serif font, stacked on top of each other. To the right of the text is a stylized "U" shape, also in a bold font, with a horizontal line running through the middle of the "U". The color of the logo is a dark teal.
* Please refer to clinical literature, including the results of the National Lung Screening Trial (N Engl J Med 2011; 365:395-409) and subsequent literature, for further information.
uWS-CT-Dual Energy Analysis is a post-processing software package that accepts UIH CT images acquired using different tube voltages and/or tube currents of the same anatomical location. The various materials of an anatomical region of interest have different attenuation coefficients, which depend on the used energy. These differences provide information on the chemical composition of the scanned body materials and enable images to be generated at multiple energies within the available spectrum. uWS-CT-Dual Energy Analysis software combines images acquired with low and high energy spectra to visualize this information.
## 7. Comparison of Technological Characteristics with the Predicate Device
The uCT ATLAS Astound with uWS-CT-Dual Energy Analysis has the same indications for use as the predicate device uCT ATLAS with uWS-CT-Dual Energy Analysis.
A comparison between the technological characteristics of proposed and predicate devices is provided as below.
| ITEM | Proposed Device | Predicate Device | Discussion |
|-----------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------|------------|
| Specifications | | | |
| Gantry | Rotation speed: up to<br>0.25s/rotation<br>82cm bore | Rotation speed: up to<br>0.25s/rotation<br>82cm bore | Same |
| Detector | 40mm Detector<br>Material: Solid-state GOS<br>80 rows,<br>936 channels/row<br>Size of detector element in<br>Z-plane: 0.5mm | 160mm Detector<br>Material: Solid-state GOS<br>320 rows,<br>936 channels/row<br>Size of detector element in<br>Z-plane: 0.5mm | Note 1 |
| X-ray tube | 60, 70, 80, 100, 120, 140 kV<br>mA range: 10mA-667mA,<br>10mA-833mA(option) | 60, 70, 80, 100, 120, 140 kV<br>mA range: 10mA-833mA | Note 2 |
| ITEM | Proposed Device | Predicate Device | Discussion |
| | Anode heat capacity:<br>30MHU equivalently | Anode heat capacity:<br>30MHU equivalently | |
| | Maximum anode heat<br>dissipation:<br>20kW(1696kHU/min) | Maximum anode heat<br>dissipation:<br>20kW(1696kHU/min) | |
| | Focal spot size:<br>0.4mm × 0.7mm<br>0.6mm × 0.7mm<br>1.1mm × 1.2mm | Focal spot size:<br>0.4mm × 0.8mm<br>0.6mm × 0.8mm<br>1.1mm × 1.2mm | |
| High Voltage<br>Generator | 80kW, 100kW(option)<br>60, 70, 80, 100, 120, 140 kV | 100kW<br>60, 70, 80, 100, 120, 140 kV | Note 3 |
| Patient Table | Max load capacity<br>205kg (Standard<br>Configuration);<br>318kg (High Configuration) | Max load capacity<br>318kg | Note 4 |
| Reconstruction<br>Field of View | 40-500mm<br>40-600mm with extended<br>FOV | 40-500mm<br>40-600mm with extended<br>FOV | Same |
| Maximum slices<br>generated per<br>rotation | 160 | 640 | Note 5 |
| Functions | | | |
| Low Dose CT<br>Lung Cancer<br>Screening<br>Protocol | Yes | Yes | Same |
| uAI Vision-<br>EasyPositioning<br>EasyISO | Yes | Yes | Same |
| Easy Range | Yes | Yes | Same |
| Injector Linkage | Yes | Yes | Same |
| Remote<br>Assistance | Yes | Yes | Same |
| ITEM | Proposed Device | Predicate Device | Discussion |
| Auto ALARA<br>kVp | Yes | Yes | Same |
| | Auto ALARA mA | Yes | Yes |
| Organ-Based Auto<br>ALARA mA | Yes | Yes | Same |
| | Deep IR (which is<br>also named AIIR) | Yes | Yes |
| KARL 3D | | Yes | Yes |
| CardioXphase | Yes | Yes | Note 6 |
| CardioCapture | Yes | Yes | Note 7 |
| Metal Artifact<br>Correction | Yes | Yes | Same |
#### Table 1 Comparisons to Predicate Device
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Image /page/6/Picture/1 description: The image contains the logo for United Imaging. The words "UNITED IMAGING" are stacked on top of each other in bold, sans-serif font. To the right of the words is a stylized "U" shape, which is also in bold. The logo is simple and modern, and the colors are muted.
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Image /page/7/Picture/1 description: The image contains the logo for United Imaging. The text "UNITED IMAGING" is displayed in bold, sans-serif font. To the right of the text is a stylized "U" shape, which is divided vertically by a white line, creating a visual effect of a "U" and an "I" combined. The logo is simple and modern in design.
Table 2 Dual Energy comparison to Reference Devices
| Item | Proposed device | Predicate Device | Discussion |
|----------------------------------------------------------------------------------------|-----------------|------------------|------------|
| Dual Energy Scan<br>Dual Energy Analysis | Yes | Yes | Same |
| Mono Energetic Image | Yes | Yes | Same |
| Mixed Enhanced Image | Yes | Yes | Same |
| CNR(Contrast Noise Ratio) Image | Yes | Yes | Same |
| Water-Iodine Base Material Pair | Yes | Yes | Same |
| Water-Calcium Base Material Pair | Yes | Yes | Same |
| Calcium-Iodine Base Material Pair | Yes | Yes | Same |
| Uric acid-Calcium Base<br>Material Pair | Yes | Yes | Same |
| Image Registration | Yes | Yes | Same |
| Effective Atomic Number Images | Yes | Yes | Same |
| • Component analysis of kidney<br>stones, uric acid stones or non-<br>uric acid stones | | | |
| • Component analysis of joint<br>gout, uric acid gout or non-uric<br>acid gout | | | |
| Electron Density Image | Yes | Yes | Same |
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Image /page/8/Picture/1 description: The image shows the logo for United Imaging. The text "UNITED IMAGING" is in bold, sans-serif font, stacked on top of each other. To the right of the text is a stylized "U" shape, which is also in bold. The color of the text and the "U" shape is a dark teal.
Virtual Non contrast Images
Yes
Yes
Same
| Justification | |
|---------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Note 1 | The detector dimension of the proposed device is shorter than that of the<br>predicate device. Detector rows of the proposed device is less than those of the<br>predicate device. The shorter detector Z-plane coverage, the longer scanning<br>time for CT imaging. The smaller number of rows, the less image information<br>obtained.<br>The difference did not raise new safety and effectiveness concerns. |
| Note 2 | The proposed device is configured with two different ranges of mA ranges. One<br>is same with the predicate device, one is smaller than the predicate device,<br>based on the x-ray tube hardware. Smaller mA output that induces lower ability<br>of x-ray penetration when scanning the object with high BMI with higher<br>possibility of photon starvation.<br>Focal spot size of the proposed device is smaller than that of the predicate<br>device. Smaller size is helpful for the improvement of resolution.<br>The differences did not raise new safety and effectiveness concerns. |
| Note 3 | The proposed device is configured with two kinds of Maximum Output Power.<br>One is same with the predicate device, one is smaller than the predicate device.<br>Smaller power, lower mA or kV level in X-ray.<br>The differences did not raise new safety and effectiveness concerns. |
| Note 4 | The proposed device is configured with two kinds of patient table. One is same<br>with the predicate device, one is with lower load capacity than the predicate<br>device. The two tables being a major component of the proposed device<br>conform to the safety standards such as IEC 60601-1 series and satisfy the<br>clinical use.<br>The difference did not raise new safety and effectiveness concerns. |
| Note 5 | Maximum slices generated per rotation of the proposed device is less than those<br>of the predicate device. The less slices, the longer scanning time for CT<br>imaging.<br>The difference did not raise new safety and effectiveness concerns. |
| Note 6 | The predicate device can use this function both on axial scan mode and helical<br>scan mode. The proposed device only can use this function on helical scan<br>mode.<br>The difference did not raise new safety and effectiveness concerns. |
| Note 7 | The predicate device can use this function both on axial scan mode and helical scan mode. The proposed device only can use this function on helical scan mode.<br>The difference did not raise new safety and effectiveness concerns. |
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Image /page/9/Picture/1 description: The image contains the logo for United Imaging. The logo consists of the words "UNITED IMAGING" in bold, sans-serif font, stacked on top of each other. To the right of the text is a stylized "U" shape, which is dark blue. The logo is simple and modern.
#### 8. Performance Data
The following performance data were provided in support of the substantial equivalence determination.
## Non-Clinical Testing
Non-clinical testing including dosimetry and image performance tests were conducted for the uCT ATLAS Astound with uWS-CT Dual Energy Analysis to verify that the proposed device met all design specifications as it is Substantially Equivalent (SE) to the predicate device.
UNITED IMAGING HEALTHCARE claims conformance to the following standards and guidance:
## Electrical Safety and Electromagnetic Compatibility (EMC)
- A ANSI AAMI ES60601-1:2005+A1:2012+A2:2021, Medical electric for basic safety and essential performance (IEC 60601-1:2005, MOD) [Including Amendment 2 (2021)].
- > IEC 60601-1-2: 2014, Edition 4.0, Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral Standard: Electromagnetic disturbances - Requirements and tests.
- > IEC 60601-1-3: 2008+AMD1:2013+A2:2021, Edition 2.2, Medical electrical equipment - Part 1-3: General requirements for basic safety and essential performance - Collateral Standard: Radiation protection in diagnostic X-ray equipment.
- A IEC 60601-2-44 Edition 3.2: 2016 Medical electrical equipment - Part 2-44: Particular requirements for the basic safety and essential performance of x-ray equipment for computed tomography
- A IEC 60601-1-6:2010+A1:2013+A2:2020, Edition 3.2, Medical electrical equipment - Part 1-6: General requirements for basic safety and essential performance - Collateral standard: Usability.
- A NEMA XR 25-2019, Computed Tomography Dose Check
- > NEMA XR 28-2018, Supplemental Requirements For User Information And System Function Related To Dose In CT
- > NEMA XR 29-2013, Standard Attributes on CT Equipment Related to Dose Optimization and Management
- A IEC 61223-3-5 First Edition 2004-08, Evaluation And Routine Testing In Medical Imaging Departments - Part 3-5: Acceptance Tests - Imaging Performance Of Computed Tomography X-ray Equipment [Including: Technical Corrigendum 1 (2006)]
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Image /page/10/Picture/1 description: The image contains the logo for United Imaging. The words "UNITED IMAGING" are stacked on top of each other in bold, dark blue font. To the right of the words is a stylized "U" symbol, also in dark blue, with a vertical line running through the center of the "U".
### Software
- NEMA PS 3.1-3.20(2016): Digital Imaging and Communications in Medicine A (DICOM)
- A Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices
- > Content of Premarket Submissions for Management of Cybersecurity in Medical Devices
## Biocompatibility
- > ISO 10993-5: 2009, Edition 3.0, Biological evaluation of medical devices - Part 5: Tests for in vitro cytotoxicity.
- ISO 10993-10: 2010, Edition 3.0, Biological evaluation of medical devices Part A 10: Tests for irritation and skin sensitization.
## Other Standards and Guidance
- ISO 14971: 2019, Edition 3.0, Medical Devices Application of risk A management to medical devices
- A Code of Federal Regulations, Title 21, Part 820 - Quality System Regulation
- A Code of Federal Regulations, Title 21, Subchapter J - Radiological Health
- A Provision for Alternate Measure of the Computed Tomography Dose Index (CTDI) to Assure Compliance with the Dose Information Requirements of the Federal Performance Standard for Computed Tomography
- A Laser Product - Conformance with IEC 60825-1; Guidance for Industry and FDA Staff (Laser Notice No. 56)
## Software Verification and Validation
Software Documentation for a Moderate Level of Concern software per FDA's Guidance Document "Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices" is included as part of this submission. The risk analysis was completed and risk control was implemented to mitigate identified hazards. The testing results show that all the software specifications have met the acceptance criteria. Verification and validation testing of the proposed device was found acceptable to support the claim of substantial equivalence.
UNITED IMAGING HEALTHCARE conforms to the Cybersecurity requirements by implementing a process of preventing unauthorized access, modification, misuse or denial of use, or unauthorized use of information that is stored, accessed, or transferred from a medical device to an external recipient. Cybersecurity information in accordance with guidance document "Content of Premarket Submissions for Management of Cybersecurity in Medical Devices" is included in this submission.
## Clinical Image Evaluation
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Image /page/11/Picture/1 description: The image contains the logo for United Imaging. The logo consists of the words "UNITED IMAGING" in bold, sans-serif font, stacked on top of each other. To the right of the text is a stylized symbol that resembles the letter "U" or a shield, with a vertical white line running down the center, dividing the shape into two halves. The overall design is clean and modern.
The clinical image evaluation was performed under the proposed device. Sample image of head, neck, chest, abdomen, spine, hip, knee, pelvis and so on were provided with a board certified radiologist to evaluate the image quality in this submission. Each image was reviewed with a statement indicating that image quality are sufficient for clinical diagnosis.
### Summary
The features described in this premarket submission are supported with the results of the testing mentioned above, the uCT ATLAS Astound with uWS-CT Dual Energy Analysis was found to have a safety and effectiveness profile that is similar to the predicate device.
#### 9. Conclusions
Based on the comparison and analysis above, the proposed device has same intended use, similar performance, safety equivalence, and effectiveness as the predicate device. The differences above between the proposed device and predicate device do not affect the intended use, technology characteristics, safety, and effectiveness. And no issues are raised regarding to safety and effectiveness. The proposed device is determined to be Substantially Equivalent (SE) to the predicate device.
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Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.